NeTS: Small: A Migration Approach to Optimal Control of Wireless Networks

NetS：小型：无线网络优化控制的迁移方法

• 批准号: 1524317
• 负责人: Eytan Modiano
• 金额: $ 46万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-10-01 至 2020-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1524317&HistoricalAwards=false
• 关键词: NeTS; Small; Migration; Approach; Optimal

Recent growth in mobile and media-rich applications has greatly increased the demand for wireless capacity, straining wireless networks. This dramatic increase in demand poses a challenge for current wireless networks, and calls for new algorithms that make better use of scarce wireless resources. Recently developed algorithms for optimally managing wireless resources hold the promise of significant performance improvement, but require all of the nodes in the network to be upgraded with new functionality which is both costly and impractical. This project introduces a novel architectural paradigm for wireless networks, whereby optimal algorithms are designed to operate in networks with both new and legacy nodes. This new paradigm allows optimal algorithms to be incrementally deployed alongside existing schemes, thus providing a migration path for new control algorithms, and the promise of dramatic improvement in network performance at incremental cost. This project develops a novel overlay architecture for implementing optimal network control algorithms over legacy networks. New nodes, capable of implementing sophisticated network control algorithms, will be connected in a virtual network overlay that operates on top of the legacy network. The research will answer fundamental questions about which nodes must be upgraded with new functionality and the tradeoff between the number of new upgraded nodes and network performance. The project will develop new routing algorithms that send packets from their sources to their destinations in the overlay network, and transmission scheduling algorithms for mitigating the effect of wireless interference. These new algorithms will be designed to operate efficiently in a network with a mix of new and legacy nodes, by taking interoperability into account. Thus, this project will answer fundamental questions about the introduction of new control techniques into legacy networks, and provide a promising approach to bridging the gap between new techniques developed for universal deployment and the reality of the networks in operation today.

最近移动的和媒体丰富应用的增长极大地增加了对无线容量的需求，使无线网络变得紧张。这种需求的急剧增长对当前的无线网络提出了挑战，并要求更好地利用稀缺的无线资源的新算法。 最近开发的用于最佳地管理无线资源的算法具有显著的性能改进的希望，但是需要网络中的所有节点升级为新的功能，这既昂贵又不切实际。 该项目介绍了一种新的架构范例的无线网络，从而优化算法的设计，在网络中运行的新的和遗留的节点。 这种新的范例允许最佳算法与现有方案一起增量部署，从而为新的控制算法提供迁移路径，并承诺以增量成本大幅提高网络性能。这个项目开发了一种新的覆盖架构，用于在传统网络上实现最佳网络控制算法。能够实现复杂网络控制算法的新节点将连接在一个虚拟网络覆盖中，该网络覆盖在传统网络之上运行。 该研究将回答有关哪些节点必须升级新功能以及新升级节点数量和网络性能之间的权衡的基本问题。 该项目将开发新的路由算法，将数据包从其源发送到覆盖网络中的目的地，以及用于减轻无线干扰影响的传输调度算法。这些新算法将被设计为在一个新节点和旧节点混合的网络中有效运行，并考虑到互操作性。 因此，该项目将回答有关将新的控制技术引入传统网络的基本问题，并提供一种有前途的方法来弥合为通用部署而开发的新技术与当今运行的网络现实之间的差距。